俄亥俄州消防局的人工智能工具通过发现非典型症状,提高医护人员的准确性,改善了心脏病的检测,但高成本限制了使用范围。 An Ohio fire department's AI tool improved heart attack detection by spotting atypical symptoms, boosting paramedic accuracy, but high costs limit wider use.

俄亥俄州的一个农村消防局使用人工智能系统改善紧急护理,发现护理人员没有出现背部和胃痛等非典型的心脏病发作症状。 A rural Ohio fire department used an AI system to improve emergency care, identifying that paramedics missed atypical heart attack symptoms like back and stomach pain. 该工具由护理人员和AI研究人员开发,分析反应数据,以建立个性化培训,从而在六个月内改善患者的结果。 The tool, developed by a paramedic and AI researcher, analyzes response data to create personalized training, leading to better patient outcomes in six months. 尽管已证明有益处,但保护病人数据所需的安全、封闭来源的人工智能系统的成本高昂,妨碍了广泛采用。 Despite proven benefits, widespread adoption is hindered by high costs of secure, closed-source AI systems needed to protect patient data.